KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
Despite their success at many natural language processing (NLP) tasks, large language
models (LLMs) still struggle to effectively leverage knowledge for knowledge-intensive tasks …
models (LLMs) still struggle to effectively leverage knowledge for knowledge-intensive tasks …
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems
Compound AI systems (CASs) that employ LLMs as agents to accomplish knowledge-
intensive tasks via interactions with tools and data retrievers have garnered significant …
intensive tasks via interactions with tools and data retrievers have garnered significant …
Retrieval Augmented Generation in the Wild: A System 2 Perspective
S Rahman, D Zhang, NBEHE Kandogan - sites.computer.org
Large language models (LLMs), despite their impressive capabilities in natural language
understanding tasks in open-domain, often lack effectiveness with similar tasks in enterprise …
understanding tasks in open-domain, often lack effectiveness with similar tasks in enterprise …
Improving Clinical Text Classification Using Large Language Models Guided by Semantic Knowledge
G Scott - 2024 - search.proquest.com
Current state of the art models for performing clinical text analysis do not yet represent
technologies that can be incorporated into tools for live use by medical professionals and …
technologies that can be incorporated into tools for live use by medical professionals and …